As conversational agents powered by large language models become more human-like,
users are starting to view them as companions rather than mere assistants. Our study …

Conventional Voice Assistants (VAs) rely on traditional language models to discern user
intent and respond to their queries, leading to interactions that often lack a broader …

The next major evolutionary stage for voice assistants will be their capability to initiate
interactions by themselves. However, to design proactive interactions, it is crucial to …

Deceptive design patterns (sometimes called “dark patterns”) are user interface design
elements that may trick, deceive, or mislead users into behaviors that often benefit the party …

Critical scholarship has elevated the problem of gender bias in data sets used to train virtual
assistants (VAs). Most work has focused on explicit biases in language, especially against …

Whilst imbuing robots and voice assistants with personality has been found to positively
impact user experience, little is known about user perceptions of personality in purely text …

Politeness is important in human–human interaction when asking people to engage in
sensitive conversations. If politeness manifests similarly in human–chatbot interaction, it may …

Voice assistants have afforded users rich interaction opportunities to access information and
issue commands in a variety of contexts. However, some users feel uneasy or creeped out …

Voice assistants (VAs) are present in homes, smartphones, and cars. They allow users to
perform tasks without graphical or tactile user interfaces, as they are designed for natural …

Generative AI tools can provide people with the ability to create virtual environments and
scenes with natural language prompts. Yet, how people will formulate such prompts is …